Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning.
Christoph DannEmma BrunskillPublished in: CoRR (2015)
Keyphrases
- sample complexity
- reinforcement learning
- learning problems
- learning algorithm
- supervised learning
- theoretical analysis
- upper bound
- pac learning
- vc dimension
- lower bound
- active learning
- machine learning
- generalization error
- sequential decision problems
- training examples
- special case
- pac learnability
- machine learning algorithms
- markov decision processes
- semi supervised learning
- state space
- average case
- multi agent
- dynamic programming
- sample complexity bounds
- irrelevant features
- learning tasks
- sample size
- optimal policy
- number of irrelevant features
- data sets